CASIA OpenIR  > 09年以前成果
Combining local features for robust nose location in 3D facial data
Xu, Chenghua; Tan, Tie; Wang, Yunhong; Quan, Long
Source PublicationPATTERN RECOGNITION LETTERS
2006-10-01
Volume27Issue:13Pages:1487-1494
SubtypeArticle
AbstractDue to the wide use of human face images, it is significant to locate facial feature points. In this paper, we focus on 3D facial data and propose a novel method to solve a specific problem, i.e., locating the nose tip by one hierarchical filtering scheme combining local features. Based on the detected nose tip, we further estimate the nose ridge by a newly defined curve, the Included Angle Curve (IAC). The key features of our method are its automated implementation for detection, its ability to deal with noisy and incomplete input data, its invariance to rotation and translation, and its adaptability to different resolutions. The experimental results from different databases show the robustness and feasibility of the proposed method. (c) 2006 Elsevier B.V. All rights reserved.
KeywordNose Tip Location Local Surface Features Local Statistical Features Included Angle Curve Svm
WOS HeadingsScience & Technology ; Technology
WOS KeywordRECOGNITION
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000239355100009
Citation statistics
Cited Times:62[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9378
Collection09年以前成果
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Beihang Univ, Sch Comp Sci & Engn, Beijing 100083, Peoples R China
3.Hong Kong Univ Sci & Technol, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
Recommended Citation
GB/T 7714
Xu, Chenghua,Tan, Tie,Wang, Yunhong,et al. Combining local features for robust nose location in 3D facial data[J]. PATTERN RECOGNITION LETTERS,2006,27(13):1487-1494.
APA Xu, Chenghua,Tan, Tie,Wang, Yunhong,&Quan, Long.(2006).Combining local features for robust nose location in 3D facial data.PATTERN RECOGNITION LETTERS,27(13),1487-1494.
MLA Xu, Chenghua,et al."Combining local features for robust nose location in 3D facial data".PATTERN RECOGNITION LETTERS 27.13(2006):1487-1494.
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